Rhineland-Palatinate Airbnb & short-term rental market data

Updated

Free Airbnb and short-term rental statistics for 36 Rhineland-Palatinate markets, from Landkreis Bernkastel Wittlich (1,628 active listings) to Landshut: 16,915 active Airbnb, Vrbo and Booking.com listings as of August 2026. Every market page reports occupancy rate, average daily rate, RevPAR, annual revenue per listing and AirDNA's Market Score, refreshed monthly.

AirDNA tracks daily performance across 10M+ Airbnb, Vrbo, and Booking.com listings in 120K+ global markets. How we collect this data →10M+ listings across Airbnb, Vrbo & Booking.com in 120K+ markets. How we collect →

Largest markets

The largest Airbnb & short-term rental markets in Rhineland-Palatinate

The 12 markets in Rhineland-Palatinate with the most active Airbnb, Vrbo and Booking.com listings, with each market's live occupancy rate, average daily rate and annual revenue per listing. Updated September 29, 2026.

  1. Landkreis Bernkastel Wittlich
    44
    Active listings
    1,628
    Annual revenue
    $21.2K
    Occupancy
    54%
    Avg daily rate
    $129
    Landkreis Bernkastel Wittlich short-term rental data
  2. Landkreis Cochem Zell
    58
    Active listings
    1,331
    Annual revenue
    $24.4K
    Occupancy
    57%
    Avg daily rate
    $140
    Landkreis Cochem Zell short-term rental data
  3. Landkreis Vulkaneifel
    69
    Active listings
    1,160
    Annual revenue
    $26.3K
    Occupancy
    55%
    Avg daily rate
    $153
    Landkreis Vulkaneifel short-term rental data
  4. Landkreis Mayen Koblenz
    73
    Active listings
    1,048
    Annual revenue
    $22.8K
    Occupancy
    59%
    Avg daily rate
    $121
    Landkreis Mayen Koblenz short-term rental data
  5. Landkreis Trier Saarburg
    70
    Active listings
    962
    Annual revenue
    $20.9K
    Occupancy
    60%
    Avg daily rate
    $110
    Landkreis Trier Saarburg short-term rental data
  6. Eifelkreis Bitburg Prum
    69
    Active listings
    825
    Annual revenue
    $28.6K
    Occupancy
    62%
    Avg daily rate
    $147
    Eifelkreis Bitburg Prum short-term rental data
  7. Landkreis Sudliche Weinstrase
    72
    Active listings
    808
    Annual revenue
    $19.4K
    Occupancy
    54%
    Avg daily rate
    $114
    Landkreis Sudliche Weinstrase short-term rental data
  8. Koblenz
    88
    Active listings
    793
    Annual revenue
    $22.4K
    Occupancy
    62%
    Avg daily rate
    $109
    Koblenz short-term rental data
  9. Landkreis Ahrweiler
    65
    Active listings
    744
    Annual revenue
    $22.8K
    Occupancy
    54%
    Avg daily rate
    $133
    Landkreis Ahrweiler short-term rental data
  10. Rhein Hunsruck Kreis
    77
    Active listings
    709
    Annual revenue
    $19.9K
    Occupancy
    55%
    Avg daily rate
    $113
    Rhein Hunsruck Kreis short-term rental data
  11. Rhein Lahn Kreis
    64
    Active listings
    672
    Annual revenue
    $19K
    Occupancy
    53%
    Avg daily rate
    $111
    Rhein Lahn Kreis short-term rental data
  12. Landkreis Bad Kreuznach
    68
    Active listings
    528
    Annual revenue
    $17.8K
    Occupancy
    53%
    Avg daily rate
    $103
    Landkreis Bad Kreuznach short-term rental data

Every market

Airbnb & short-term rental data for all 36 Rhineland-Palatinate markets

Every Rhineland-Palatinate city, town and resort market with a free AirDNA data page, A to Z. Each page reports active listings, occupancy rate, average daily rate, annual revenue, supply mix and the largest property managers.

About the data

What is AirDNA's Airbnb & short-term rental data?

AirDNA tracks the daily performance of more than 10 million short-term rental listings on Airbnb, Vrbo and Booking.com across 120,000+ markets worldwide. The 36 market pagesfor Rhineland-Palatinate on this site are a free, monthly-refreshed slice of that dataset: for every market, the trailing-twelve-month active listing count, annual revenue per listing, occupancy rate, average daily rate (ADR), RevPAR and AirDNA's Market Score, plus supply mix and the largest property managers.

Where the data comes from

Listing, calendar and booking activity is collected directly from Airbnb, Vrbo and Booking.com and supplemented by 1M+ partner properties connected through property management systems, channel managers and direct host integrations. The same home listed on several channels is counted once.

How AirDNA collects data →

How often it updates

Market pages are refreshed monthly. Every headline metric is a trailing-twelve-month figure, so a market is judged on a full year of bookings, not one busy or slow month. The “Updated” date at the top of each page is the real refresh date.

How often AirDNA data is updated →

What every market page includes

  • Active listings. Homes on Airbnb, Vrbo and Booking.com available or booked in the trailing 12 months, de-duplicated across channels.
  • Annual revenue. Trailing-twelve-month earnings of a typical active listing, including nightly rates and guest fees.
  • Occupancy. The share of available nights that were actually booked.
  • ADR & RevPAR. What booked nights cost on average, and revenue per available night (occupancy × ADR).
  • Market Score. A 40–100 grade of short-term rental potential, with five subscores.
  • Supply & operators. Property types, bedroom mix, channel split, availability and the largest property managers.
See an example: Landkreis Bernkastel Wittlich short-term rental data →

How the Market Score works

AirDNA's Market Score grades each market from 40 to 100 on short-term rental potential, benchmarked against other short-term rental markets in the same country with at least 15 active listings. It combines five subscores, each computed from observed market data:

  • Rental demand: annual occupancy combined with year-over-year listing growth.
  • Revenue growth: the year-over-year change in RevPAR, counting only properties booked in both periods.
  • Seasonality: the percentage gap between the lowest and highest monthly average revenue over the past year (a smaller swing scores higher).
  • Regulation: signals of short-term-rental rules inferred from host and property behavior.
  • Investability: local home prices relative to what short-term rentals in the area earn.
How Market Score is calculated →

Looking for a market that isn't listed? AirDNA's app covers 120K+ markets globally, including neighborhoods inside the markets on this site.

Key definitions

How AirDNA defines these metrics

Active listings
Active listings are the short-term rentals on Airbnb, Vrbo, and Booking.com that were available or booked in the trailing 12 months. AirDNA de-duplicates the same home across channels, and the count refreshes monthly.How AirDNA counts active listings →
Annual revenue
Annual revenue is the trailing-twelve-month earnings of a typical active listing before host expenses, including booked nightly rates plus cleaning and other guest fees.How AirDNA calculates revenue →
Occupancy
Occupancy is the share of available nights that get booked, averaged across active listings over the trailing 12 months. It measures real demand, not how many nights a host chooses to list.How AirDNA calculates occupancy →
Average daily rate (ADR)
ADR is the average nightly price guests actually paid across booked nights in the trailing 12 months. Nights that didn't book are excluded.How AirDNA calculates ADR →
RevPAR
RevPAR (revenue per available rental) is occupancy multiplied by ADR. It captures both how often a listing books and what it charges, making it the truest measure of earning power per available night.What is RevPAR? →
Market Score
AirDNA's Market Score grades each market from 40 to 100 on short-term rental potential, weighing rental demand, revenue growth, seasonality, regulation, and investability. Markets are benchmarked against others in the same country.How Market Score is calculated →
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Frequently asked

Quick answers about Rhineland-Palatinate Airbnb & short-term rental data

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There's a lot more inside the AirDNA app.

Neighborhood-level data, custom comp sets, historical trends and address-level revenue projections for every Rhineland-Palatinate market.

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